Combined 99mTc-ECD SPECT and neuropsychological studies in MCI for the assessment of conversion to AD-Reference-Cited by-同舟云学术

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Combined 99mTc-ECD SPECT and neuropsychological studies in MCI for the assessment of conversion to AD

Published:2006-01 Issue:1 Volume:27 Page:24-31
ISSN:0197-4580
Container-title:Neurobiology of Aging
language:en
Short-container-title:Neurobiology of Aging

Author:

Borroni B.,Anchisi D.,Paghera B.,Vicini B.,Kerrouche N.,Garibotto V.,Terzi A.,Vignolo L.A.,Di Luca M.,Giubbini R.,Padovani A.,Perani D.

Publisher

Elsevier BV

Subject

Geriatrics and Gerontology,Developmental Biology,Clinical Neurology,Ageing,General Neuroscience

Reference23 articles.

1. Exact multivariate tests for brain imaging data;Almeida;Human Brain Map.,2002

2. Neuropsychological features of mild cognitive impairment and preclinical Alzheimer's disease;Arnaiz;Acta Neurol Scand,2003

3. Platelet amyloid precursor protein abnormalities in mild cognitive impairment predict conversion to dementia of Alzheimer type: a 2-year follow-up study;Borroni;Arch Neurol,2003

4. Mild cognitive impairments predict dementia in nondemented elderly patients with memory loss;Bozoki;Arch Neurol,2001

5. Mild cognitive impairment: can FDG-PET predict who is to rapidly convert to Alzheimer's disease?;Chetelat;Brain,2003

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1. Cross-Tracer and Cross-Scanner Transfer Learning-Based Attenuation Correction for Brain SPECT;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-07

2. Brain perfusion SPECT in dementia: what radiologists should know;Japanese Journal of Radiology;2024-06-18

3. Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects;Pharmacological Research;2023-11

4. Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review;Alzheimer's & Dementia;2023-08-10

5. Patterns of structure-function association in normal aging and in Alzheimer's disease: Screening for mild cognitive impairment and dementia with ML regression and classification models;Frontiers in Aging Neuroscience;2023-02-23

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